Has AI Figured Out Our Epidemic of Obesity, Metabolic Disorders, and Common Brain Disorders?
Over the past decade, I’ve proposed a new disease model to the medical and scientific communities. It is based on the idea that ultra-processed foods can harm the brain and, over time, may lead to a form of brain dysfunction I call Carbohydrate Associated Reversible Brain syndrome, or CARB syndrome.
The concept builds on the Affective Spectrum Disorder (ASD) disease model, a condition Harvard researchers Hudson and Pope proposed more than 20 years ago. They proposed that 14 common brain disorders are part of the same disease process. Because they never identified the triggers or pathogenesis of ASD, their concept died on the vine. Subsequently, the medical and scientific communities have largely overlooked the idea. My concept was almost identical to their ASD concept, except I determined the likely triggers and pathology of the condition, so I decided to change the name to CARB syndrome.
What Does AI Know?
You might expect artificial intelligence to know about CARB syndrome. Billions of dollars have gone into AI, and it now appears in nearly every part of modern life. Many people assume it knows almost everything. So, several years ago, I asked an AI system about CARB syndrome. Its answer reminded me of one of Kamala Harris’s speeches:
“Carb syndrome” can refer to a few different conditions, most commonly carb intolerance, metabolic syndrome related to high carbohydrate intake, or the emotional-eating-related carbohydrate craving syndrome. Carb intolerance involves digestive issues like bloating and diarrhea, while carbohydrate craving syndrome is a psychological condition driven by mood changes. High carbohydrate intake, particularly from starchy foods, is linked to an increased risk of metabolic syndrome.”
A Concise but Misguided Answer
The answer missed the point by a wide margin. When I recently resubmitted the question to AI, I received a two-page response detailing my proposed concept. AI has caught up because it is getting much better at collecting information that is already out there, and it draws on widely available information. AI is clearly incapable of making empirical observations, which require humans to study real-world patterns and draw connections. In that respect, humans have a huge advantage over AI.
When I used empirical observations to develop the CARB syndrome model, AI was clearly ignorant about my concept. I recently asked AI about CARB syndrome again, and I received a two-page summary that was basically just copied from my website. AI made sure to point out the limitations of the concept:
“While popularized by certain practitioners like Dr. Bill Wilson, it is not a formally recognized medical or psychiatric diagnosis within standard mainstream medicine (such as the DSM-5 or ICD-11). Instead, proponents use it as a conceptual framework to link metabolic dysfunction with overlapping neurological and psychological symptoms.”
Limitations of AI
Now I know what it’s like to be spanked by AI. This also demonstrates one of the limitations of AI. Today, the CARB syndrome concept is still widely unknown by the medical and scientific communities, in a similar manner to what happened with the ASD concept. Both concepts are round-world ideas in a flat world, and this information remains buried in the massive data of AI. AI cannot generate new medical or scientific concepts, nor can it effectively evaluate the validity of existing models. It is simply a massive waste basket of existing information.
I believe that CARB syndrome is harming many people in developed societies, mainly because medical and scientific communities have failed to recognize it. You can’t diagnose and treat something you are unaware of. Unfortunately, AI is not structured to change this dynamic. It is also incapable of spreading the word about a new concept that could significantly benefit mankind and society. In other words, unless you already know what you are looking for, AI will not regurgitate it. AI has access to massive amounts of information, but it really cannot use this knowledge to think in a human way.
AI Has Caught Up, But Not the Healthcare Field
Hudson, Pope, and I could be wrong. Our theories may have no real-world basis. However, I believe the CARB syndrome concept is unique in that it offers an explanation that ties together our current worldwide epidemics of obesity, metabolic conditions, and common brain disorders. Using this model could result in much better management of the many complex patients that exist in our modern world. I have yet to see another explanation that does the same. Theories can be supported but not be proved by scientific research, but such research can disprove them. If someone can disprove the concept of CARB syndrome, I can then relax and move on to other work.
For now, read the 22 symptoms of CARB syndrome and consider whether they apply to you or someone you care about. I’ve written a book about the condition titled Brain Drain. You can also send questions through my website, which includes more information about the concept.
I believe CARB syndrome is preventable and reversible, so you don’t need to wait for AI to catch up before acting! When I really think about it, if the concept has merit, it’s not AI that needs to catch up—it’s the medical and scientific communities!
FAQs
What is CARB syndrome?
Carbohydrate Associated Reversible Brain syndrome (CARB syndrome) is a proposed disease model that suggests ultra-processed foods may contribute to brain dysfunction and overlapping neurological and psychological symptoms. The concept aims to explain potential connections among dietary factors, metabolic disorders, and common brain disorders.
How did the idea of CARB syndrome develop?
CARB syndrome builds on the Affective Spectrum Disorder (ASD) model proposed by Harvard researchers Hudson and Pope more than two decades ago. Their model suggested that multiple common brain disorders might share an underlying disease process. CARB syndrome extends this general idea by proposing potential dietary triggers and a possible underlying pathology.
Can AI determine whether CARB syndrome is scientifically valid?
AI can help summarize relevant research, identify competing explanations, and evaluate whether claims are consistent with published evidence. It cannot establish the validity of CARB syndrome simply by repeating the author’s arguments. The model must be evaluated through rigorous research, including studies designed to test and potentially disprove its predictions.
Can CARB syndrome explain obesity, metabolic conditions, and brain disorders?
One of the model’s central aims is to explain possible connections among obesity, metabolic dysfunction, and common brain disorders. The author believes this framework could help explain overlapping health problems. Whether it provides a valid, unified explanation remains an open scientific question, but using the model to benefit individuals’ health appears to be very inexpensive and low-risk.
Why is CARB syndrome not widely recognized in healthcare?
The concept remains outside established medical classification systems and has not achieved broad acceptance within mainstream medicine. Scientific recognition typically requires a clear definition, reliable methods for identifying a condition, supporting evidence, independent replication, and evidence that the model improves clinical understanding or patient outcomes. Because the possible treatments for CARB syndrome are inexpensive and very low-risk, using them for people who fit the CARB syndrome pattern seems reasonable.
Where can readers learn more about CARB syndrome?
Readers can explore the author’s website for the proposed 22 symptoms, additional background on the model, and information about Brain Drain, the author’s book on the subject. They can also consult established medical resources and peer-reviewed research to better understand the current evidence concerning diet, metabolic health, and brain function. Reviewing Hudson and Pope’s Affective Spectrum Disorder concept would also be helpful, as it supports the CARB syndrome concept.
What is the main message of the blog post?
The central message is that AI’s ability to retrieve and summarize information is not the same as scientific discovery or independent validation. The author argues that CARB syndrome warrants serious investigation as a potential framework for understanding the connections among diet, metabolism, and brain health. Dr. Wilson has used this framework to successfully treat thousands of complex patients over many decades.